Runtime Validation vs Static Analysis: Why You Need Both
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.
Co-founder and CEO of Speedscale, passionate about performance engineering. • 9 posts published
Static analysis catches code smells. Runtime validation catches behavioral failures. Enterprise teams adopting AI coding tools need both to ship safely.
AI-generated code compiles clean but breaks in production. Learn why static analysis misses behavioral failures and how runtime validation catches them.
AI coding tools generate code from docs and examples—but they've never seen your production traffic. Here's what breaks AI-generated code.
Non-production environments cost 20-40% of cloud bills. Digital twin testing delivers 9x ROI through infrastructure, incident, and efficiency savings.
See how to get visibility into your Kubernetes workloads and run realistic load tests without writing YAML files or kubectl commands.
Learn how to test your React frontend without running backend services. Record real API traffic and mock responses for faster development, reliable testing, and offline coding. Step-by-step guide with proxymock.
Claude Code can write features and fix bugs, but proxymock traffic snapshots give me the integration tests, replays, and observation diffs required to ship confident backend changes.
Cursor can scaffold new API calls, but proxymock traffic snapshots give me the integration tests, replays, and observation diffs required to ship confident backend changes.
Learn how to build a production-grade traffic capture system using proxies, eBPF, and tcpdump. Complete guide covering encryption, protocols, scalability, and storage strategies.
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